VIRTUAL ACADEMY FOR WOMEN

  • The Academy for Women is a free virtual program young women going into their sophomore, junior, or senior year of high school. It is designed to dispel myths about computer science and intrigue young women with the potential of computing and the excitement of problem solving.

  • Session 1
    June 7-11, 2021
    1:30- 5pm
    Optional evenings from 7-8pm

  • Session 2
    June 14-18, 2021
    1:30- 5pm
    Optional evenings from 7-8pm

FAQ

Where/when is the Academy?

The Academy for Women will be held virtually, wherever in the world you are! Hours of instruction are in Central Standard Time:
1:30- 5pm with optional evenings from 7-8pm. Students will spend daytime hours working on projects and will have access to academy advisors who can answer questions and help them with their projects throughout the evening.

Who Can Attend?

The academy is open to young women students going into 10th, 11th and 12th grades in Fall 2021. 

What will we be doing?

Participants will be introduced to the world of computer science, including gaining experience in programming. Participants will work in groups to program patterns into simulated strands of lights and create a virtual lightshow that “dances” to music. 

Do I have to have previous experience with programming?

This academy is suitable for young women with all experience levels, from those who have never programmed before to those who already have some experience.

Staff

Dr. Norman is an Associate Professor of Instruction in The University of Texas at Austin Computer Science Department. She received both her M.S. in computer science and her Ph.D. in computer science from this department. Since then, she has been fortunate enough to spend her days teaching systems to undergraduates and performing outreach to underserved communities. Her research interests lie in the intersection of supercomputing and program analysis with a special interest in static techniques to improve checkpointing. She is also interested in large-scale simulation.

Angie Beasley is an Assistant Professor of Instruction in the Computer Science department at UT, where she teaches Data Mining. Prior to teaching, Angie worked for 15 years as a software engineer on projects for the US Navy, including submarine sonar systems, periscope systems, unmanned underwater vehicles, radar systems, and radio and satellite communication systems. Angie received her MS in Computer Science with a concentration in Machine Learning from The George Washington University and her BS in Computer Science from The University of Texas at Austin.

Academy Directors Tiffany Buckley and Mary Esther Middleton have worked for the Department of Computer Science for 15+ years on summer academies, admissions, enrollment, student organizations and diversity initiatives.

Eligibility Requirements:

You must be a female high school student entering your sophomore, junior or senior year in Fall 2021.

Applications Instructions

Applications are closed at this time, thank you for checking and come back next year!

The Academy for Women and Academy for All are application-based programs. Our sign-up system, CircuiTree, is based on a registration model. What this means for you is that you will be placed on a wait list while applications are being accepted between February 15 and March 22.  After March 22, we will review all applications and make selections. You will be notified of your selection status in April.

Use the link provided and you will open a page in CircuiTree. When you select your program, you will land on a page that asks:

  • Who are you registering? Register my children or Register myself (18 and older)
  • Make the appropriate selection to create your (or your child’s) application
  • You will need a transcript to upload
  • You will be writing a very short essay during the application
  • You do not have to complete the entire application in one session, you can come back to it at a later time!

Are you ready? Apply now!

MICHELLE LIU

Sophomore UTCS 2017

The Academy for Women was my first real experience with CS outside of high school, and being in such a supportive environment with other girls from so many different backgrounds really made me believe I could succeed in the field and solidified my decision to pursue computer science. Creating a project with a team of other girls gave me the opportunity to understand that CS is a challenging but rewarding field. I also really enjoyed my visit to VMware, a software company in Austin, because it was the first time I was exposed to a working environment, and I was able to picture myself in a similar setting a few years down the road.

JACQUELINE GIBSON

Junior UTCS 2017

The Academy for Women is an amazing experience for high school girls interested in studying CS. As a former participant and later a Residential Assistant, I’ve been able to witness the transformative experience twice over. It’s amazing to see the ways that participants grow in confidence over the week, working together in teams to program and develop a project of their own. Girls have the ability to learn about the various facets of CS, learning from expert researchers and industry professionals. I can say confidently that Academy for Women contributed to my decision to major in Computer Science and attend UT, and I am thankful to have participated in/worked with such a wonderful program.

DIVYA MANOHAR

Freshman UTCS 2017

Before attending the Academy for Women, I knew I was interested in coding but was unaware of the applications of computer science as a career. In just one week, the academy exposed me to a multitude of career options involving CS including architecture, the CIA and game design. Being introduced to all these focuses got me thinking about my future occupation, and motivated me to do research in topics I found especially interesting like computational neuroscience. Learning about the variety of specialties within CS made me want to go into research and proved to be the most impactful part of the Academy for Women.

Partially Funded by Our Diversity @ UTCS Partners

Questions?

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